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Automated systematic nomenclature generation for organic compounds
Author(s) -
Williams Antony John,
Yerin Andrey
Publication year - 2012
Publication title -
wiley interdisciplinary reviews: computational molecular science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.126
H-Index - 81
eISSN - 1759-0884
pISSN - 1759-0876
DOI - 10.1002/wcms.1118
Subject(s) - cheminformatics , computer science , chemical nomenclature , software , nomenclature , data science , simple (philosophy) , information retrieval , chemistry , taxonomy (biology) , programming language , computational chemistry , biology , philosophy , botany , organic chemistry , epistemology
The availability of systematic chemical names allows for the simple textual exchange of chemical structure information encoded into a name. The exchange of molecular structures in graphical format, molecular connection tables, or text strings encoding the molecule (e.g., SMILES and InChIs) is well established in cheminformatics and a plethora of chemical structure drawing tools exist to facilitate this exchange. However, even with well‐established systematic naming rules, software tools to allow for the generation of chemical names from structural inputs, and the reversal of these systematic names back to the original chemical structure, have only been available for a short time relative to the rules themselves. Although early tools were lacking in both capability and quality, they have matured over the years to provide excellent tools for chemists. Here, we review the capabilities of existing systematic naming software algorithms and tools and review some of the challenges, limitations, and future challenges for development. © 2012 John Wiley & Sons, Ltd. This article is categorized under: Computer and Information Science > Chemoinformatics